cfg = {
    # 基本设置
    "window_name": "bzw",
    "cam_height": 480,
    "cam_width": 640,
    "input_size": (240, 320),  # (h,w)

    "labels_list": ['background', '路灯', '车库', "道闸", "公交站台",
                    "交通灯", "静态标志物", "交通灯", "报警台", "LED", "ETC",
                    "TFT", "立体显示", "语音播报", "无线充电", "JT"],
    "model_path": "./ai_library/models/landmark_detection.tflite",

    # anchor配置
    "min_sizes": [[10, 16, 24], [32, 48], [64, 96], [128, 192, 256]],

    "steps": [8, 16, 32, 64],
    "match_thresh": 0.45,
    "variances": [0.1, 0.2],
    "clip": False,

    # 推理
    "score_threshold": 0.5,   # 得分阈值
    "nms_threshold": 0.4,     # nms阈值
    "max_number_keep": 200
}
